Python Gen AI Developer

Tanisha Systems Inc

Dallas, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

$ 73K

Dallas, United States of America

Artificial Intelligence

Azure

Cluster Analysis

Data Structures

Software Debugging

Python

Linear Regression

Machine Learning

MongoDB

NoSQL

Object-Oriented Software Development

TensorFlow

Workflow Management Systems

PyTorch

Large Language Models

Prompt Engineering

Spark

Data Lake

PySpark

HuggingFace

XGBoost

Asynchronous Programming

Api Design

GPT

Software Library

Databricks

Hands on exp with Python, PySpark/spark, NoSQL (MongoDB), Data bricks, data lake, azure cloud

Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc.
LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
LLM Fine tuning experience
Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.